Scaling data and AI is not just a technical challenge. It is a series of decisions that shape how fast you move, how much control you retain, and whether your strategy holds up over time.

In this episode, Katrin Botzen, Corporate Director, Global Data and Analytics at Henkel, breaks down what the company got wrong in its early data and AI journey, and how those lessons now guide its approach.

The conversation with Julian Schirmer of OAO, focuses on practical, enterprise realities, from embedding governance and security into systems from the start, to making smarter build versus buy decisions, to enforcing architecture discipline in a fast-moving environment.

If you are navigating the shift from experimentation to scale, this episode offers a clear view of what works, what fails, and what to do differently.